Operations | Monitoring | ITSM | DevOps | Cloud

February 2023

Announcing the General Availability of Playwright Test Support

Back in October of 2022 we unveiled the beta of @playwright/test. We’re now happy to announce that Playwright Test (PWT) is now generally available! We’ve worked hard to make Checkly the best way to run your Playwright tests, and we’ve also decided to make Playwright—which is experiencing a surge in usage and popularity— the default and recommended web testing framework to use with Checkly.

Checkly Introduces Monitoring as Code Workflow, Enabled By a New CLI, to Unite Testing and Monitoring

Checkly introduces monitoring as code workflow, enabled by a new CLI, to unite testing and monitoring. The company announced the general availability of Playwright Test and has selected Playwright as its preferred testing and monitoring framework. Company also unveils additional innovations including general availability of Playwright Test and selects Playwright as its preferred testing and monitoring framework

Continuous Load Testing | A Developer's Guide

Continuous load testing is a powerful way of preparing for surges in traffic, without needing real users. Imagine you’re a software engineer working on a website that’s seen a recent surge in traffic. Despite initial testing indicating that the website should be capable of handling the increased load, the website crashes during peak hours. Load Testing is the process of simulating real-world usage of a website or application.

Zenduty - Tutorial 15 - Zenduty API and Postman Collections

Zenduty is a revolutionary incident management platform that gives you greater control and automation over the incident management lifecycle. With the Zenduty API, you can supplement and deploy Zenduty in sync with other tools and services, allowing you to create and update incidents, users, teams, services, integrations, schedules etc. and automate your workflows using simple scripts.

Building a Mock Server from User Traffic in Kubernetes

A mock server can prove useful in many circumstances. Imagine you’re an engineer working on optimizing a feature inside of an existing API that relies on multiple other microservices to function properly. To fully test the optimizations, you’ll have to set up test versions of all the dependencies, which quickly proves to be quite a task in and of itself. This is where a mocks—a server that simulates the behavior of a real server—can be very beneficial.

Using Playwright to Monitor Third-Party Resources That Could Impact User Experience

Today’s web consists of lots of 3rd party resources. Let it be your fonts, transformed and optimized media assets, or analytics and ad scripts, many sites out there include resources that they don’t own. Your website probably has a lot of those dependencies, too! And while implementing third-party resources has downsides for performance and you should self-host your assets when possible, sometimes relying on external files is unavoidable.

What Is GraphQL? A Simplified Overview of Use and Benefits

The use of APIs is at the forefront of automation. There are many ways for developers and applications to make use of APIs, and GraphQL is one way to make the most of the data. As technologies continue to grow and evolve, especially with drivers like the DevOps methodology, it is important to keep on top of better and quicker ways to meet our business goals. This is one of the reasons I find GraphQL to be so exciting, and why everyone should understand it.
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Testing Kubernetes Ingress with Production Traffic

Testing Kubernetes Ingress resources can be tricky, and can lead to frustration when bugs pop up in production that weren't caught during testing. This can happen for a variety of reasons, but with Ingress specifically, it often has to do with a misalignment between the data used in testing and the traffic generated in production. Tools like Postman can be a great way of generating traffic, but they have the drawback of being manually created. Not only is this unlikely to create all the needed variations for a single endpoint (different headers, different request bodies, etc.), it would be almost impossible to create all the needed variations, for all possible endpoints.

How Kizen Reduced Production Challenges While Saving 20% in Engineering Hours With Synthetic Monitoring

Using Checkly’s Playwright Test and GitHub sync integration helped Kizen optimize testing and monitoring workflows Kizen is a no-code, enterprise-grade Predictive Innovation Engine that enables sales, marketing, and operations teams to save time and drive higher revenues and profitability. Their product portfolio includes a flexible customer relationship manager (ƒCRM), operations cloud, automation engine, and a predictive data platform.

Optimize Kubernetes Performance Part 2: Creating Comparisons

The main idea behind Kubernetes is to create a standardized approach to running containers in the cloud. Whether you’re running AKS on Azure or EKS on Amazon, your cluster should still behave in more or less the same way. But that’s not to say you’re locked in to doing things one way; Kubernetes still offers a lot of flexibility in many cases. This is what experienced engineers take advantage of when trying to optimize Kubernetes performance.

Running API and Browser Checks Using Terraform, AWS, and Checkly Private Locations

When adding new Checks in Checkly a number of locations are available to check your endpoints from multiple locations around the world. For most use cases this is more than enough to ensure your resources are online. However, these locations are outside of your network and are unable to check on resources deployed more securely inside your private network.

Optimize Kubernetes Performance Part 1: Cluster Configurations

Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.

Our API tokens can now be scoped by site or status page

Oh Dear has an extensive API that powers various powerful integrations. To use the API, you first need to create an API Token in the Oh Dear UI. Previously, such a token could be used to make API calls to any site or status page in your Oh Dear account. We noticed that some of our users are agencies that use Oh Dear to monitor their clients' sites.

The Critical Role of APIs in Microservices Architectures

The first thing to know when exploring APIs vs microservices is that there’s not a dichotomous relationship between these two technical approaches. Instead, you want to build an understanding of how these two technologies relate to each other—and they do, in a big way. So, organizations don’t need to embrace either an API-first or microservices-first strategy.

How 1Password Relies on Checkly for Secure System Health Monitoring for Thousands of Business Customers

1Password uses Checkly to provide transparent, advanced synthetic monitoring to 1Password SCIM bridge customers 1Password is a leader in human-centric security and privacy, with a solution that’s built from the ground up to enable anyone—no matter the level of technical proficiency—to navigate the digital world without fear or friction when logging in.